Triple
T22979513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna U1 line |
E571419
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Vienna Central Station |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vienna Central Station | Statement: [Vienna U1 line, connectsTo, Vienna Central Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vienna Central Station Context triple: [Vienna U1 line, connectsTo, Vienna Central Station]
-
A.
Wien Hauptbahnhof
chosen
Wien Hauptbahnhof is Vienna’s main railway station and a central national and international transport hub in Austria.
-
B.
Vienna station
Vienna station is a Washington Metro rapid transit station in Fairfax County, Virginia, serving as the western endpoint of the system’s Orange Line.
-
C.
Graz Hauptbahnhof
Graz Hauptbahnhof is the main railway station and central transport hub of the city of Graz in Austria.
-
D.
Linz Central Station
Linz Central Station is the main railway hub of Linz, Austria, serving as a key regional and long-distance transport interchange.
-
E.
Vienne railway station
Vienne railway station is the main train station serving the town of Vienne in southeastern France, providing regional and intercity rail connections.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18294c4c8819083ef85d9cb736613 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.